Abstract
OBJECTIVES. The aim of the study was to assess the effect of the anthropometric data of basketball players on the alterations of cardiovascular parameters during the physical load applying the model of integrated evaluation. MATERIAL AND METHODS. The research sample consisted of 113 healthy Caucasian male basketball players, candidates of the Lithuanian National men's basketball teams. Basketball players were divided into 2 groups: 69 taller and heavier male basketball players (with a higher percentage of body fat) (TMB) and 44 shorter and less heavy male basketball players (with a lower percentage of body fat) (SMB). The amount of fat, expressed in percentage, was measured using the body composition analyzer TBF-300. "Kaunas-Load," a computerized ECG analysis system, was used to evaluate the functional condition of the cardiovascular system during the load. RESULTS. The TMB group had a lower heart rate during the warming-up phase and the steady state of the load as compared with the SMB group (P<0.05). The JT interval in the TMB group was greater during the warming-up and the steady state as compared with the SMB group (P<0.05). The JT/RR ratio index in the TMB group was found to be lower in the warming-up phase and in the steady state compared with the respective parameter in the SMB group (P<0.05). CONCLUSIONS. The cardiovascular system of taller and heavier male basketball players with a greater relative amount of body fat functioned more economically.
Highlights
The human body is a complex dynamical system that is effectively organized following the principles of the dynamical systems theory [1]
The JT interval in the taller and heavier male basketball players (TMB) group was greater during the warming-up and the steady state as compared with the SMB group (P
The JT/RR ratio index in the TMB group was found to be lower in the warming-up phase and in the steady state compared with the respective parameter in the SMB group (P
Summary
The human body is a complex dynamical system that is effectively organized following the principles of the dynamical systems theory [1]. Research on the dynamical systems theory has shown how a small change in a control parameter that constrains the system can lead to abrupt changes in the overall behavior of that system [4]. This control parameter can come from the environment [1, 5, 6], internal processes of the subject [7], or interaction with other subjects [4, 8, 9]. In order to avoid this risk, it is necessary to control nutrition
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